Results 121 to 130 of about 87,026 (282)

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

AI‐Optimized Vanadium Oxide Multilayers for More Than 20‐fold Enhancement in Bolometric Performance

Advanced Science, EarlyView.
Machine‐learning‐optimized WxV1‐xOy multilayer thin films with graded doping achieve a high TCR (7.3 % K−1), reduced hysteresis, and low noise under CMOS‐compatible growth conditions. This approach overcomes the long‐standing trade‐off in microbolometers between linear response and performance, offering a universal bolometric parameter greatly enhanced
Jin‐Hyun Choi, Hyoung‐Taek Lee, Jeonghoon Kim, Miju Park, Seungjoon Sun, Gye‐Hyeon Kim, Myung‐Ho Kwon, Hyeong‐Ryeol Park, Changhee Sohn   +8 more
wiley   +1 more source

Principles for Rigorous Design and Application of Synthetic Microbial Communities

Advanced Science, EarlyView.
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang, Minyu Jing, Lihui Lyu, Li Nie, Xihui Xu, Ru Sun, Xiyuan Xu, Siyu Chen, Shuobing He, Yumeng Zhang, Ping Huang, Weijie Luo, Jiaojiao Liang, Guifeng Gao, Kunkun Fan, Teng Yang, Liyan Zhang, Xiao Fu, Sarah M. Allard, Jack A. Gilbert, Jiabao Zhang, Haiyan Chu   +21 more
wiley   +1 more source

Reassessment of pelvic radiographic measurements for delivery prediction using machine learning

Computer Methods and Programs in Biomedicine Update
Background and Objective: Pelvimetry has historically shown limitations in diagnosing cephalopelvic disproportion, yet recent evidence suggests potential predictive value.
Ayano Suemori, Jota Maki, Hikaru Ooba, Hikari Nakato, Keiichi Oishi, Tomohiro Mitoma, Sakurako Mishima, Akiko Ohira, Satoe Kirino, Eriko Eto, Hisashi Masuyama   +10 more
doaj   +1 more source

Real‐Time In Vivo Cellular‐Level Imaging During Puncture

Advanced Science, EarlyView.
We present an artificial‐intelligence‐empowered integrative‐light‐field microendoscopy (AIM) needle that delivers real‐time in vivo, diffraction‐limited cellular‐level imaging during puncture and visualizes layered microstructures along the needle path. As a microscopic complement to CT/ultrasound, it improves sampling localization and adds preliminary
Huifang Gao, Jiakang Shao, Quanzhi Li, Yizhou Tan, Liangliang Huang, Xiaorong Xu, Ji Qi, Julin Xiao, Wenwen Li, Zhong Wen, Le Wang, Xu Liu, Qing Yang, Ying Gu   +13 more
wiley   +1 more source

Compressive Strength of Cement‐Based Composites Using Machine Learning Models

Engineering Reports
This work aims to compare the compressive strength of cellulose nanofibrils (CNFs) reinforced concrete, cement paste, and cement mortar utilizing machine learning models for prediction before construction.
Wenyi Yang, Aftab Anwar, Yuanjun Jiang, Wania Naz, Wang Yanwei, Wang Jing, Jing Li   +6 more
doaj   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source

Wireless Bioelectronic Modulation of Membrane Potential in Glioblastoma Using Carbon Nanotube Porins

Advanced Science, EarlyView.
A schematic illustrating glioblastoma cell membrane modulation using carbon nanotube porins (CNTPs) and an applied voltage. CNTPs enable ion flux leading to changes in membrane potential. This figure summarizes the concept of bioelectronic control of cell membrane voltage.
Fleur Groualle, David Onion, Julie A. Watts, Graham A. Rance, Aleksandr Noy, Beth Coyle, Frankie J. Rawson   +6 more
wiley   +1 more source

Lithium Squarate as Sacrificing Electrolyte Additive for Prelithiation: Case Study in Zero‐Excess Lithium Metal Batteries

Advanced Science, EarlyView.
Active lithium loss (ALL) and capacity fade can be compensated by prelithiation, apparently simple via sacrificing additives e.g., lithium squarates. However, as a cathode additive it ruptures the cathode via gas evolution, while as an electrolyte additive it gets reductively depleted on anode side in course of solid electrolyte interphase (SEI ...
Ibrahim Lawan Abdullahi, Anindityo Arifiadi, Alexandros Tsoufios, Nick Fehlings, Silvan Stuckenberg, Lukas Stolz, Dominik Voigt, Martin Winter, Johannes Kasnatscheew   +8 more
wiley   +1 more source

Advancing Model Performance With ADASYN and Recurrent Feature Elimination and Cross-Validation in Machine Learning-Assisted Credit Card Fraud Detection: A Comparative Analysis

IEEE Access
Online card transactions have become more frequent due to the growth of e-commerce and financial technology apps. However, this also means more opportunities for credit card fraud, which affects banks, retailers, and card issuers.
Emmanuel Ileberi, Yanxia Sun
doaj   +1 more source